Monica
generalAI assistant supporting multiple major models
ml 62
The ML category is a broad collection of 674 tools that apply machine learning across industries and functions, from healthcare documentation and legal research to user research, code generation, and content creation. It captures AI applications that do not fit cleanly into a single vertical.
HARPA AI Browser Agent
generalChrome extension combining multiple AI models
Notta Showcase
generalTranscribe and summarize meetings
Reworkd
generalWeb scraping and data extraction
Paraphrasing Tool
generalRewrite text in your own words instantly
Kaption AI
generalCaptions and subtitles for video and audio in 120+ languages
Zyft
generalAI shopping comparison app for finding products
Zams
generalAI automation for sales and revenue operations
Recall
generalPersonal knowledge base for articles, videos, and notes
Squire AI
generalAI assistant for financial advisors and planning tasks
Beam
generalChatGPT on Mac with a global hotkey
voicemy.ai
generalClone voices, train AI models, and compose melodies
Revisor
generalMonitor electoral procedures and count voters
Based Tools
generalDirectory of over 12,000 AI tools and websites
Roundtable
generalReal-time bot detection for user surveys and traffic
OverallGPT
generalCompare AI models based on criteria that matter to you
100 Markets Inst
generalBlog posts generated in multiple languages
Unvoice Bot
generalTranscribe WhatsApp voice messages instantly
Konch
generalTranscribe audio and video with automated translation
Experai
generalAsk questions to subject matter experts
JADWAL188
generalDiscover ingredients in your favorite snacks
Listen Monster
generalConvert audio and video to text with fast transcription
GradeLab
generalAutomate exam grading across multiple question types
Mailyr
generalWrite emails in seconds with free AI Chrome extension
Because this category covers so many domains, browsing by sub-use case is more efficient than scrolling the full list. Tools like Hippo Scribe and SopCreator serve very specific professional workflows, while others like User Evaluation or Userpersona target product and UX teams. The quality bar across the category is uneven: some tools are mature products with enterprise customers, while others are early-stage experiments. When evaluating any tool in this space, look for evidence of actual accuracy and reliability in your specific domain, since ML performance varies dramatically across tasks. Integration depth and data handling are often the deciding factors for business use. Pricing models are diverse, from usage-based API billing to flat-rate SaaS subscriptions. Open-source alternatives exist for many of the underlying tasks, so for teams with technical resources, comparing commercial tools against self-hosted options is worth the effort.